🚦 Smart Traffic Signal – Python Project

This repository contains my Smart Traffic Signal System, a Python-based project aimed at optimizing traffic flow using real-time/simulated data. It intelligently adjusts signal durations based on vehicle density to reduce congestion and improve city traffic management.

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📁 Folder Structure

📁 static/                         # Static files (e.g., CSS, JS, images for UI if any)
📁 templates/                      # HTML templates (for Flask app interface)
📄 app.py                          # Main Flask application
📄 database.py                     # Handles database connections and schema
📄 database.db                     # SQLite database for user data/logs
📄 generate_verification_codes.py  # Utility script for creating codes (e.g., OTPs)
📄 temp.py                         # Temporary test script or experimental code
📄 test.py                         # Testing or unit test file
📄 test_time.py                    # Simulates signal timing behavior
📄 user_activity.xlsx              # Dataset or logs of simulated user activity
📄 LICENSE.md                      # License file (MIT or other)
📄 Project-Report.pdf              # Final project documentation/report
📄 SmartTrafficSignal_Aman_USC_UCT.pdf # Formal college submission document
📄 Smart_Traffic_Signal_SEM-4.pdf  # Academic report for SEM-4
📄 README.md                       # This file

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🎯 Project Objective

To build an intelligent traffic light control system that uses real-time or simulated input to:

• Count vehicle density at intersections
• Dynamically alter traffic signal timings
• Reduce waiting time and congestion
• Log user/traffic activity for analysis

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⚙️ Technologies & Libraries Used

• Python 3.x – Core language
• Flask – Backend web framework
• SQLite – Lightweight database
• OpenCV (optional) – For real-time camera-based vehicle detection
• time, random, threading – Used in simulation logic
• Excel (XLSX) – For logging and exporting user/traffic data

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🚦 Key Features

✅ Dynamic Signal Timing – Signal times change based on traffic volume ✅ Web-Based Dashboard – UI built using Flask with HTML templates ✅ User Activity Log – All actions and durations are stored in a DB/XLSX ✅ Traffic Simulation – test_time.py mimics real-world traffic flow ✅ Extensible Design – Can be scaled for multiple intersections

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🧪 Setup Instructions

1. Clone the repository

   git clone https://github.com/amanantuley/smart-traffic-signal.git
   cd smart-traffic-signal

2. Install dependencies (Create a requirements.txt if needed; otherwise manually install)

   pip install flask pandas openpyxl

3. Run the application

   python app.py

4. Access the web interface Navigate to http://localhost:5000 in your browser.

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📸 Screenshots

Place screenshots in a screenshots/ folder and reference here once available.

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📄 Project Reports

• 📘 Project-Report.pdf – Final project documentation
• 📗 SmartTrafficSignal_Aman_USC_UCT.pdf – Official college submission
• 📙 Smart_Traffic_Signal_SEM-4.pdf – Academic report for semester-4

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📬 Contact

• 👨‍💻 Developer: Aman Antuley
• 📧 Email: amanantuley@gmail.com
• 🔗 LinkedIn: linkedin.com/in/amanantuley
• 🐙 GitHub: github.com/amanantuley

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📜 License

This project is licensed under the MIT License. Feel free to use, modify, and distribute with attribution.